GPU-Accelerated AI & HPC Systems Engineer

Penn State University; University Park (TX); On-site; USD 81,000 - 122,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Retirement plans

75% tuition discount

Paid time off

Job summary

Penn State University’s Institute for Computational and Data Sciences seeks a Research Computing Engineer to design, operate, and optimize GPU and AI computing infrastructure and HPC systems used by researchers across the university. This on-site role partners with researchers to deliver scalable, reliable services.

You’ll work across GPU clusters, storage, networking, automation, and user workflows to enable AI, simulations, and data-intensive research, with a focus on security, documentation,

Qualifications

• Bachelor's Degree or equivalent with relevant experience required.
• Strong Linux, Bash and Python scripting skills.
• Experience debugging complex systems and collaborating in teams.
• Experience with AI tools to improve workflows is a plus.
• Clear written and verbal communication skills.

Responsibilities

• Collaborate with teammates, users, and vendors to diagnose issues across compute, storage, networking, and software.
• Monitor, maintain, automate, and improve AI and HPC systems and supporting infra.
• Design, deploy, operate, troubleshoot, and optimize systems using DevOps practices.
• Support GPU-accelerated computing environments for AI/ML workloads.
• Partner with researchers to understand workloads and develop engineering solutions.
• Support security, logging, documentation, and compliance processes.
• Contribute to planning, requirements gathering, and operational readiness for new services.
• Provide updates to system documentation and assist users with guidance.
• Evaluate tools and workflows that support AI model development and data movement at scale.

Skills

Linux

Bash

Python

Problem-solving

Collaboration

AI tools

Education

Bachelor's Degree

Tools

Slurm

Kubernetes

Docker

OpenStack/Bifrost

xCAT

Job description

Penn State University’s Institute for Computational and Data Sciences seeks a Research Computing Engineer to design, operate, and optimize GPU and AI computing infrastructure and HPC systems used by researchers across the university. This on-site role partners with researchers to deliver scalable, reliable services.

You’ll work across GPU clusters, storage, networking, automation, and user workflows to enable AI, simulations, and data-intensive research, with a focus on security, documentation,